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deconvtv - fast algorithm for total variation deconvolution



Fast numerical solver for total variation regularized least-squares deconvolution problems.

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Total variation regularized least-squares deconvolution is one of the most standard image processing problems. This package provides an implementation of the current state-of-art algorithm using the concept of augmented Lagrangian [1], which can be considered as a variation of the popularly known Alternating Direction Methods of Multipliers (ADMM). The user interface of deconvtv is identical to the current MATLAB's deconvolution tools, including deconvwnr, deconvlucy, and deconvreg:

out = deconvtv(img, psf, mu, opt);

deconvtv supports direct space-time processing for both image and video deconvolution problems.

Applications of deconvtv include, and are not limited to: image and video deblurring, image and video denoising, depth data enhancement, hot-air turbulence stabilization, and multi-view synthesis.

For additional information and citations, please refer to:
[1] S.H. Chan, R. Khoshabeh, K.B. Gibson, P.E. Gill, and T.Q. Nguyen, "An augmented Lagrangian method for total variation video restoration", IEEE Trans. Image Process., vol. 20, no. 11, p. 3097-3111, 2011.

Required Products Image Processing Toolbox
MATLAB release MATLAB 7.12 (R2011a)
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Comments and Ratings (12)
10 Apr 2014 Enming

Enming (view profile)

27 Sep 2013 Hal

Hal (view profile)

25 Sep 2013 Lester Liu  
24 Sep 2013 Yi

Yi (view profile)

good for image deblurring

24 Sep 2013 Zucheul  
24 Sep 2013 Zucheul  
24 Sep 2013 Jason

Jason (view profile)

24 Sep 2013 Kyoung Rok  
24 Sep 2013 Enming

Enming (view profile)

The code is fairly easy to use. I try it for image denoising. The speed is really fast even though it's a global operation.

24 Sep 2013 Byeong Keun Kang  
24 Sep 2013 Byeong Keun Kang  
24 Sep 2013 bmv

bmv (view profile)

Error using memory
Function MEMORY is not available on this platform.
Error in deconvtv (line 69)
memory_condition = memory;

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